Abstract 3863
Background
One third of early breast cancers (EBC) in women are diagnosed over 70 years (y) old. In this population, clinicians look not only at EBC characteristics but also antecedents and comorbidities to determine the best treatment.
Methods
ConSoRe is a new generation data analytics solution using natural language processing and perform advanced data mining. It was used for data extraction from electronic patient record of 2048 patients (pts) of more than 70 years, operated for EBC in Centre Leon Berard since 1997. Patient and tumor characteristics, treatment and survival were extracted.
Results
Mean age was 75.5 y (range 70-100 y). Main comorbidities described were coronary heart disease: 340 pts (16,6%) and diabetes: 321 pts (15,7%). Distribution of body mass index (BMI) was under 18.5: 56 pts (3,3%), 18.5-25: 677 pts (39,6%); 25-30: 620 (36,3%) and over 30: 356 (20,8%). Mean tumor size was 23,5 mm (range 6 to 150), SBR grading was distributed as well: grade 1: 317 (17%) ; grade 2: 1007 (55%) ; grade 3: 476 (26%) while estrogen receptor were positive (>10%) in 1553 pts (86%), progesteron receptor positive (>10%) in 1299 pts (71%) and HER2 positive in 101 pts (6,3%). Histological nodes staging was N0 in 1497 pts (72%); N1 in 414 pts (20%); N2 in 95 pts (5%); N3 in 52 pts (2%). 295 pts (14%) were treated by chemotherapy, 80 pts (3,9%) by trastuzumab, 1544 pts (75%) by radiotherapy and 1543 (75%) by hormonotherapy. Despite a limited mean follow-up of 5,1 y (range 0.3-20,7y), we observe 83 local relapse (4%), 144 metastatic relapse (7%) and 261 deaths (12.7%) with a mean overall survival (OS) of 4,6 y (10 days to 21,4 y). In the multivariate analysis, BMI under 19 and HER 2 positive were independent predictors of OS (HR: 0,85; p = 2.49e-09). Using Multiple Correspondence Analysis, percentage of explained variances is very low with less than 10%. These results show the limit of classical approach by descriptive data analysis, that is why, we propose new method by machine learning and operational research to determine the best adjuvant treatment.
Conclusions
This elderly population has a poor prognosis for which taking BMI into account is important when defining the therapeutic strategy. Classical approaches by data analysis reach their limits.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Heudel Pierre.
Funding
Has not received any funding.
Disclosure
P. Heudel: Research grant / Funding (institution): AstraZeneca; Honoraria (institution): novartis; Honoraria (self): Pfizer. O. Tredan: Honoraria (self): Roche; Honoraria (self): Pfizer; Honoraria (self): novartis; Honoraria (self): AstraZeneca; Honoraria (self): lilly; Honoraria (self): BMS; Honoraria (self): MSD. All other authors have declared no conflicts of interest.
Resources from the same session
2671 - Luminal B breast cancer prognosis prediction by comprehensive analysis of Homeobox genes
Presenter: Ayako Nakashoji
Session: Poster Display session 3
Resources:
Abstract
2650 - Long non-coding RNA E2F4as promotes tumor progression and predicts patient prognosis in human ovarian cancer
Presenter: Sun-Ae Park
Session: Poster Display session 3
Resources:
Abstract
1462 - FGF19 promotes esophageal squamous cell carcinoma progression by inhibiting autophagy
Presenter: Lisha Ying
Session: Poster Display session 3
Resources:
Abstract
5787 - Proof of concept on the role of ex vivo lung cancer spheroids, cytokines expression and PBMCs profiling in monitoring disease history and response to treatments.
Presenter: Raimondo Di Liello
Session: Poster Display session 3
Resources:
Abstract
5253 - Circulating microRNAs related to DNA damage response as predictors of survival in metastatic non- small cell lung cancer patients treated with platinum-based chemotherapy
Presenter: Dimitris Mavroudis
Session: Poster Display session 3
Resources:
Abstract
5286 - Prognostic value of CTCs in advanced NSCLC patients treated with platinum-based chemotherapy
Presenter: Silvia Calabuig-Fariñas
Session: Poster Display session 3
Resources:
Abstract
5781 - Exosomes in NSCLC as a source of biomarkers
Presenter: Elena Duréndez
Session: Poster Display session 3
Resources:
Abstract
1447 - The role of Pim-1 in the development and progression of papillary thyroid carcinoma
Presenter: Xin Zhu
Session: Poster Display session 3
Resources:
Abstract
1323 - Development and Validation of a RNA-Seq Based Prognostic Signature in Neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster Display session 3
Resources:
Abstract
3290 - Identification of meningioma patients in high risk of tumor recurrence using microRNA profiling
Presenter: Josef Srovnal
Session: Poster Display session 3
Resources:
Abstract